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Hybrid IT For Dummies, HPE Special Edition 22 These materials are © 2017 John Wiley & Sons, Inc. Any dissemination, distribution, or unauthorized use is strictly prohibited. is a centralized database server with the client side installed on client PCs, are not generally great options to move to the cloud, although there are exceptions. Take Microsoft Exchange Server, for instance. In these environments, the server holds the database and Microsoft Outlook is the client, but these environments move really nicely into the cloud in the form of Office 365, hosted Exchange, and other services. However, in this case, latency (to a point) is okay. Users aren't sitting at their desktops manically mashing the Send/Receive button because an email is taking too long. With other client/server applications, though, imposing latency on the application directly impacts the user's ability to get work done. In addition, client/server applications often require full oper- ating systems for deployment, whereas more modern applica- tions often operate using a web browser that is available on just about any device. Of course, browser access to an enterprise resource planning (ERP) application from anywhere may not be as important to you as being able to access email from any device, but that's just one of the determinations you'll need to make on an application‐by‐application basis. Why the network is the public cloud's Achilles heel Partially for the reasons discussed in the previous section, but also for other reasons, the network can be a major con- cern in the world of cloud. It's one reason that application workloads are often left in the local data center, close to the users — or at the edge, close to where it's created. After all, the closer applications and data are, the faster they can respond. It's all about physics. Distance results in latency. The more distance between a user and an application server, the more latency there is. The more latency, the more the workload suffers and the circle is complete, and not in a positive way. Latency is the killer of workloads. And, in the cloud, this results in additional cost.